Meta-analysis of transcriptomic data reveals pathophysiological modules involved with atrial fibrillation
R Haas Bueno, M Recamonde-Mendoza - Molecular Diagnosis & Therapy, 2020 - Springer
Background Atrial fibrillation (AF) is a complex disease and affects millions of people around
the world. The biological mechanisms that are involved with AF are complex and still need to …
the world. The biological mechanisms that are involved with AF are complex and still need to …
Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis
J Zhang, X Huang, X Wang, Y Gao, L Liu, Z Li… - BMC medical …, 2020 - Springer
Background Atrial fibrillation (AF) is at least partially heritable, affecting 2–3% of the
population in Europe and the USA. However, a substantial proportion of heritability is still …
population in Europe and the USA. However, a substantial proportion of heritability is still …
Bioinformatic analysis for the identification of potential gene interactions and therapeutic targets in atrial fibrillation
S Yu, J Yu, Y Guo, Y Chu, H Zhang - bioRxiv, 2020 - biorxiv.org
Background Atrial fibrillation (AF) is the most prevalent tachycardia. The major injuries
caused by AF are systemic embolism and heart failure. Although AF therapies have evolved …
caused by AF are systemic embolism and heart failure. Although AF therapies have evolved …
Identification of a novel 4-gene diagnostic model for atrial fibrillation risk based on integrated analysis across independent data sets
P Zhang, Q Miao, X Wang, Y Zhang… - … Chemistry & High …, 2022 - ingentaconnect.com
Background: Atrial fibrillation (AF) is the most common persistent arrhythmia and an
important factor leading to cardiovascular morbidity and mortality. Several key genes and …
important factor leading to cardiovascular morbidity and mortality. Several key genes and …
Integrative analysis of transcriptome-wide association study data and mRNA expression profiles identified candidate genes and pathways associated with atrial …
L Zhang, L Liu, M Ma, S Cheng, B Cheng, P Li, Y Wen… - Heart and vessels, 2019 - Springer
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia characterized by
extensive structural, contractile and electrophysiological remodeling. The genetic basis of …
extensive structural, contractile and electrophysiological remodeling. The genetic basis of …
Identification of key genes in atrial fibrillation using bioinformatics analysis
Y Liu, R Tang, Y Zhao, X Jiang, Y Wang… - BMC Cardiovascular …, 2020 - Springer
Background Atrial fibrillation (AF) is one of the most common arrhythmia, which brings huge
burden to the individual and the society. However, the mechanism of AF is not clear. This …
burden to the individual and the society. However, the mechanism of AF is not clear. This …
Beyond the Rhythm: In Silico Identification of Key Genes and Therapeutic Targets in Atrial Fibrillation
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia worldwide and is characterized by a
high risk of thromboembolism, ischemic stroke, and fatality. The precise molecular …
high risk of thromboembolism, ischemic stroke, and fatality. The precise molecular …
Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular …
Y Liu, F Bai, Z Tang, N Liu, Q Liu - BMC Cardiovascular Disorders, 2021 - Springer
Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood
mechanisms. We aimed to investigate the biological mechanism of AF and to discover …
mechanisms. We aimed to investigate the biological mechanism of AF and to discover …
Identification of potential novel biomarkers and therapeutic targets involved in human atrial fibrillation based on bioinformatics analysis
G Fan, J Wei - Kardiologia Polska (Polish Heart Journal), 2020 - journals.viamedica.pl
Background: Atrial fibrillation (AF) is the most common arrhythmia. However, exact
molecular mechanism of AF remains unclear. Aims: Our study aimed to identify underlying …
molecular mechanism of AF remains unclear. Aims: Our study aimed to identify underlying …
Weighted gene coexpression network analysis of human left atrial tissue identifies gene modules associated with atrial fibrillation
Background—Genetic mechanisms of atrial fibrillation (AF) remain incompletely understood.
Previous differential expression studies in AF were limited by small sample size and …
Previous differential expression studies in AF were limited by small sample size and …